Elon Musk Sues OpenAI for Abandoning Original Mission for Profit

Elon Musk, CEO of SpaceX and Tesla and owner of X, formerly known as Twitter, attends the Viva Technology conference dedicated to innovation and startups at the Porte de Versailles exhibition center in Paris, France, June 16, 2023. (Reuters)
Elon Musk, CEO of SpaceX and Tesla and owner of X, formerly known as Twitter, attends the Viva Technology conference dedicated to innovation and startups at the Porte de Versailles exhibition center in Paris, France, June 16, 2023. (Reuters)
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Elon Musk Sues OpenAI for Abandoning Original Mission for Profit

Elon Musk, CEO of SpaceX and Tesla and owner of X, formerly known as Twitter, attends the Viva Technology conference dedicated to innovation and startups at the Porte de Versailles exhibition center in Paris, France, June 16, 2023. (Reuters)
Elon Musk, CEO of SpaceX and Tesla and owner of X, formerly known as Twitter, attends the Viva Technology conference dedicated to innovation and startups at the Porte de Versailles exhibition center in Paris, France, June 16, 2023. (Reuters)

Elon Musk has sued ChatGPT-maker OpenAI and its CEO Sam Altman, saying they abandoned the startup's original mission to develop artificial intelligence for the benefit of humanity and not for profit.

The lawsuit filed late on Thursday in San Francisco is a culmination to the billionaire's long-simmering opposition to the startup he co-founded and has since become the face of generative AI, partly due to the billions of dollars in funding from Microsoft.

Musk alleged a breach of contract, saying Altman and co-founder Greg Brockman originally approached him to make an open source, non-profit company, but the startup established in 2015 is now focused on making money.

Recounting OpenAI's founding, Musk said the three men had agreed to work on artificial general intelligence (AGI), a concept that machines could handle tasks like a human, but in a way that would "benefit humanity", according to the lawsuit.

OpenAI would also work in opposition to Google, which Musk believed was developing AGI for profit and would pose grave risks.

Instead, OpenAI "set the founding agreement aflame" in 2023 when it released its most powerful language model GPT-4 as essentially a Microsoft product, the lawsuit alleged.

Musk has sought a court ruling that would compel OpenAI to make its research and technology available to the public and prevent the startup from using its assets, including GPT-4, for the financial gains of Microsoft or any individual.

OpenAI, Microsoft and Musk did not respond to Reuters requests for comment.

The billionaire is also seeking a ruling that GPT-4 and a new and more advanced technology called Q* would be considered AGI and therefore outside of Microsoft's license to OpenAI.

Reuters in November was first to report on Q* and warnings from OpenAI researchers about a powerful AI discovery.

Musk, who runs Tesla and rocket maker SpaceX and bought Twitter for $44 billion in October 2022, stepped down from OpenAI's board in 2018 and has on several occasions called for regulation on AI.

OpenAI's tie-up with Microsoft is under antitrust scrutiny in the United States and Britain following the startup's boardroom battle last year that resulted in the sudden ouster and return of Altman and the creation of a new temporary board.

The startup is planning to appoint new board members in March, the Washington Post reported on Thursday. Microsoft said in November it would have a non-voting, observer seat on the board.

Some legal experts said Musk's allegations of breach of contract, which is partly based on an email between Musk and Altman, could fail to hold up in court.

While contracts can be formed through a series of emails, the lawsuit cites an email that appears to look like a proposal and a "one-sided discussion", said Brian Quinn, a law professor at Boston College Law School.

"To the extent Musk is claiming that the single e-mail in Exhibit 2 is the 'contract', he will fall well short," Quinn said.

Musk's xAI

Musk has mounted a rival AI effort with his startup xAI, which is made up of engineers hired from some of the top US technology firms such as Google and Microsoft that he hopes to challenge.

The startup started rolling out its ChatGPT competitor Grok for Premium+ subscribers of social media platform X in December and aims to create what Musk has said would be a "maximum truth-seeking AI".

The billionaire, who has called AI a "double-edged sword", was among a group of AI experts and industry executives that last year called for a six-month pause in developing systems more powerful than OpenAI's GPT-4, citing great risks to humanity and society.

Since its debut, ChatGPT has been adopted by companies for a wide range of tasks from summarizing documents to writing computer code, setting off a race among Big Tech companies to launch their own offerings based on generative AI.



Meta Shares Skyrocket, Microsoft Slides on Wall Street after Earnings

A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson
A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson
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Meta Shares Skyrocket, Microsoft Slides on Wall Street after Earnings

A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson
A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson

Shares in Meta skyrocketed by 10 percent at opening on Wall Street on Thursday, a day after the social media giant posted better than expected earnings as the company invests heavily in artificial intelligence.

Microsoft, whose earnings disappointed analysts, saw its share price tumble by 10 percent, with investors showing concern for the return on investment for the software giant's spending on AI.


Samsung Logs Best-ever Profit on AI Chip Demand

South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File
South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File
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Samsung Logs Best-ever Profit on AI Chip Demand

South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File
South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File

South Korean tech giant Samsung Electronics posted record quarterly profits Thursday, riding massive market demand for the memory chips that power artificial intelligence.

A global frenzy to build AI data centers and develop the fast-evolving technology has sent orders for advanced high bandwidth memory microchips soaring.

That is also pushing up prices for less flashy chips used in consumer electronics -- threatening higher prices for phones, laptops and other devices worldwide.

In the quarter to December 2025, Samsung said it saw "its highest-ever quarterly consolidated revenue at KRW 93.8 trillion (US$65.5 billion)", a quarter-on-quarter increase of nine percent.

"Operating profit was also an all-time high, at KRW 20.1 trillion," the company said.

The dazzling earnings came a day after a key competitor, South Korean chip giant SK hynix, said operating profit had doubled last year to a record high, also buoyed by the AI boom.

The South Korean government has pledged to become one of the top three AI powers, behind the United States and China, with Samsung and SK hynix among the leading producers of high-performance memory.

Samsung said Thursday it expects "AI and server demand to continue increasing, leading to more opportunities for structural growth".

Annual revenue stood at 333.6 trillion won, while operating profit came in at 43.6 trillion won. Sales for the division that oversees its semiconductor business rose 33 percent quarter-on-quarter.

The company pointed to a $33.2 billion investment in chip production facilities -- pledging to continue spending in "transitioning to advanced manufacturing processes and upgrading existing production lines to meet rising demand".

- 'Clearly back' -

Major electronics manufacturers and industry analysts have warned that chipmakers focusing on AI sales will cause higher retail prices for consumer products across the board.

This week US chip firm Micron said it was building a $24 billion plant in Singapore in response to AI-driven demand that has caused a global shortage of memory components.

SK hynix announced Wednesday that its operating profit had doubled last year to a record 47.2 trillion won.

The company's shares have surged some 220 percent over the past six months, while Samsung Electronics has risen about 130 percent, part of a huge global tech rally fueled by optimism over AI.

Both companies are on the cusp of producing next-generation high-bandwidth "HBM4" chips for AI data centers, with Samsung reportedly due to start making them in February.

American chip giant Nvidia -- now the world's most valuable company -- is expected to be one of Samsung's customers for HBM4 chips.

But Nvidia has reportedly allocated around 70 percent of its HBM4 demand to SK hynix for 2026, up from the market's previous estimate of 50 percent.

"Samsung is clearly back and we are expecting them to show a significant turnaround with HBM4 for Nvidia's new products -- helping them move past last year's quality issues," Hwang Min-seong, research director at market analysis firm Counterpoint, told AFP.

But SK still "maintains a market lead in both quality and supply" of a number of key components, including Dynamic Random Access Memory chips used in AI servers, he said.

SK also this week said it will set up an "AI solutions firm" in the United States, committing $10 billion and weighing investments in US companies.


Google Unveils AI Tool Probing Mysteries of Human Genome

A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
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Google Unveils AI Tool Probing Mysteries of Human Genome

A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)

Google unveiled an artificial intelligence tool Wednesday that its scientists said would help unravel the mysteries of the human genome -- and could one day lead to new treatments for diseases.

The deep learning model AlphaGenome was hailed by outside researchers as a "breakthrough" that would let scientists study and even simulate the roots of difficult-to-treat genetic diseases.

While the first complete map of the human genome in 2003 "gave us the book of life, reading it remained a challenge", Pushmeet Kohli, vice president of research at Google DeepMind, told journalists.

"We have the text," he said, which is a sequence of three billion nucleotide pairs represented by the letters A, T, C and G that make up DNA.

However, "understanding the grammar of this genome -- what is encoded in our DNA and how it governs life -- is the next critical frontier for research," said Kohli, co-author of a new study in the journal Nature.

Only around two percent of our DNA contains instructions for making proteins, which are the molecules that build and run the body.

The other 98 percent was long dismissed as "junk DNA" as scientists struggled to understand what it was for.

However, this "non-coding DNA" is now believed to act like a conductor, directing how genetic information works in each of our cells.

These sequences also contain many variants that have been associated with diseases. It is these sequences that AlphaGenome is aiming to understand.

- A million letters -

The project is just one part of Google's AI-powered scientific work, which also includes AlphaFold, the winner of 2024's chemistry Nobel.

AlphaGenome's model was trained on data from public projects that measured non-coding DNA across hundreds of different cell and tissue types in humans and mice.

The tool is able to analyze long DNA sequences then predict how each nucleotide pair will influence different biological processes within the cell.

This includes whether genes start and stop and how much RNA -- molecules which transmit genetic instructions inside cells -- is produced.

Other models already exist that have a similar aim. However, they have to compromise, either by analyzing far shorter DNA sequences or decreasing how detailed their predictions are, known as resolution.

DeepMind scientist and lead study author Ziga Avsec said that long sequences -- up to a million DNA letters long -- were "required to understand the full regulatory environment of a single gene".

And the high resolution of the model allows scientists to study the impact of genetic variants by comparing the differences between mutated and non-mutated sequences.

"AlphaGenome can accelerate our understanding of the genome by helping to map where the functional elements are and what their roles are on a molecular level," study co-author Natasha Latysheva said.

The model has already been tested by 3,000 scientists across 160 countries and is open for anyone to use for non-commercial reasons, Google said.

"We hope researchers will extend it with more data," Kohli added.

- 'Breakthrough' -

Ben Lehner, a researcher at Cambridge University who was not involved in developing AlphaGenome but did test it, said the model "does indeed perform very well".

"Identifying the precise differences in our genomes that make us more or less likely to develop thousands of diseases is a key step towards developing better therapeutics," he explained.

However, AlphaGenome "is far from perfect and there is still a lot of work to do", he added.

"AI models are only as good as the data used to train them" and the existing data is not very suitable, he said.

Robert Goldstone, head of genomics at the UK's Francis Crick Institute, cautioned that AlphaGenome was "not a magic bullet for all biological questions".

This was partly because "gene expression is influenced by complex environmental factors that the model cannot see", he said.

However, the tool still represented a "breakthrough" that would allow scientists to "study and simulate the genetic roots of complex disease", Goldstone added.